基于GA的BP神经网络智能PID控制在水力发电机组中的应用

水力发电机组是一个非线性、时变系统,常规PID控制不能达到较好的控制效果。提出了一种基于GA遗传算法、BP神经网络和RBF神经网络的智能PID控制方法。分别讨论了智能控制系统的结构,如GA,BP,RBF以及水电机组的数学模型;对水电机组采用智能PID控制器和常规PID控制器的动态特性进行分析。结果表明,采用智能PID控制器的水电机组具有更好的控制精度和动态特性。

Application of BP neural network intelligent PID controller based on GA in turbogenerating units

The turbogenerating unit is a non -linear, time -variable system, and the traditional PID controller cant achieve better control performance. An intelligent PID control method is proposed based on genetic algorithm, BP and RBF neural networks. The structure of the intelligent control system, GA,BP,RBF algorithms and mathematical model of the unit are discussed, respectively. The analysis is made for the dynamic characteristics of the unit by applying intelligent PID controller and traditional PID controller. The results show that the unit with intelligent PID controller has better accuracy and dynamic characteristics.